Multi-view subspace clustering under a tensor framework remains challenging problem, which can be potentially applied to image classification, impainting, denoising, etc. There are some existing tensor-based multi-view models mainly making use of the consistency in different views through nuclear norm (TNN). The diversity means intrinsic difference individual view is always ignored. In this pap...

Power system state estimation is a process to find the bus voltage magnitudes and phase angles at every bus based on a given measurement set. The state estimation convergency is related to the sufficiency of the measurement set. Observability analysis actually tests this kind of problem and guarantees the state estimation accuracy. A new and useful algorithm is proposed and applied in this pape...

The approach to equilibrium of quantum mechanical systems is a topic as old mechanics itself, but has recently seen surge interest due applications in technologies, including, not limited to, computation and sensing. mechanisms by which system approaches its long-time, limiting stationary state are fascinating and, sometimes, quite different from their classical counterparts. In this respect, n...

increasing concern over the regional dimensions of national economic planning since 1970s, has constituted appropriate baselines for scientific analysis of regional differences the iranian planning views in the pre and post revolution era have been examined in this article, based on both theoretical and applied study of regional differences. then the types and degrees of convergency and/or dive...

Offshore floating wind turbines (FWT) decrease adverse climate change effects without occupying significant land and harvesting fields. Owing to the earth planet unexpected climate, online adaptive feedback control of FWTs will be effective in sense optimal uniform energy capture. In this paper, a deep reinforcement learning (DRL)-based system is proposed offset both disturbance noise effects. ...

Accurate power state estimation plays an important role in the real-time working monitoring and safety control of high energy lithium-ion batteries. To solve difficulty low accuracy problems its under various operating conditions, characteristics lithium cobalt oxide batteries are analyzed comprehensively conditions. An improved collaborative equivalent model is established to characterize then...

Microwave remote sensing instruments such as synthetic aperture radar (SAR) play an important role in scientific research applications, while they suffer great measurement distortion with the presence of radio frequency interference (RFI). Existing methods either adopt model?based optimization or follow a data?driven black?box learning scheme, and both have specific limitations terms efficiency...

There have been different approaches to compute the analytic instantaneous frequency with a variety of background reasoning and applicability in practice, as well as restrictions. This paper presents an adaptive Fourier decomposition and (α-counting) based instantaneous frequency computation approach. The adaptive Fourier decomposition is a recently proposed new signal decomposition approach. T...